Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A system comprising: an automated diagnostic system comprising a database; a deep learning system coupled to the automated diagnostic system; one or more camera modules operable to send images of an instrument, which is in proximity to a body part of a patient, to the automated diagnostic system; and the instrument comprising an instrument camera and operable to send images of the body part of the patient to the automated diagnostic system, wherein the patient controls instrument's movement, wherein, the automated diagnostic system, utilizing the images from the one or more camera modules, the images from the instrument camera and the deep learning system, provide visual instructions to the patient to adjust the instrument from a first position to a second position proximately closer to a target spot of the body part of the patient.
2. The system according to claim 1 , further comprising: a patient interface station operable to send and receive information from the automated diagnostic system, the one or more camera modules and the instrument.
This invention relates to an automated diagnostic system for medical or clinical applications, addressing the need for efficient, accurate, and integrated diagnostic processes. The system includes a patient interface station that facilitates communication between the automated diagnostic system, one or more camera modules, and an instrument. The patient interface station enables the exchange of information, such as diagnostic data, imaging results, and instrument readings, ensuring seamless coordination between components. The camera modules capture visual or imaging data relevant to the diagnosis, while the instrument performs measurements or analyses. The automated diagnostic system processes this data to generate diagnostic outputs, improving diagnostic accuracy and workflow efficiency. The patient interface station acts as a central hub, allowing real-time data transmission and interaction, enhancing the system's overall functionality and usability in clinical settings. This integration reduces manual intervention, minimizes errors, and accelerates diagnostic procedures.
3. The system according to claim 1 , wherein the automated diagnostic system is operable to analyze information provided by the one or more camera modules, the instrument and the deep learning system to generate medical measured data of the body part of the patient.
4. The system according to claim 3 , wherein the medical measured data of the body part of the patient is communicated to a physician and a deep learning database.
This invention relates to a medical data processing system that enhances diagnostic accuracy by integrating deep learning with physician oversight. The system captures medical measured data from a body part of a patient, such as imaging or sensor readings, and transmits this data to both a physician and a deep learning database. The deep learning database analyzes the data to identify patterns, anomalies, or potential medical conditions, providing automated insights to assist the physician. The physician reviews the data and the deep learning analysis to make a final diagnosis or treatment recommendation. This dual-review approach combines the precision of machine learning with human expertise, improving diagnostic reliability. The system may include additional features such as real-time data transmission, secure data storage, and integration with electronic health records to streamline workflow. The deep learning database is trained on a large dataset of medical cases to refine its accuracy over time, while the physician's input ensures clinical relevance and safety. This system is particularly useful in scenarios where rapid, accurate diagnosis is critical, such as emergency medicine or remote patient monitoring.
5. The system according to claim 1 , wherein the one or more camera modules provide a pose estimate based on time of flight of multiple light signals emitted from each of the one or more camera modules and reflected back to the one or more camera modules.
This invention relates to a system for determining the pose of one or more camera modules using time-of-flight (ToF) measurements. The system addresses the challenge of accurately estimating the position and orientation of camera modules in dynamic environments, which is critical for applications such as augmented reality, robotics, and autonomous navigation. The system includes one or more camera modules that emit multiple light signals, which are then reflected back to the modules. By measuring the time it takes for these light signals to travel to an object and return, the system calculates the distance to the object. This time-of-flight data is used to generate a pose estimate, which includes both the spatial position and angular orientation of the camera modules. The system may also incorporate additional sensors or processing techniques to refine the pose estimate, ensuring high accuracy in real-time applications. The use of time-of-flight technology allows for precise distance measurements, which are essential for determining the relative position of the camera modules in three-dimensional space. This approach improves upon traditional methods that rely solely on image-based or inertial sensors, which can be less accurate or more computationally intensive. The system is particularly useful in environments where rapid and reliable pose estimation is required, such as in mobile devices, drones, or industrial automation.
6. The system according to claim 1 , wherein the one or more camera modules determine a location, an angle and a rotation of the instrument relative to the body part of the patient.
7. The system according to claim 6 , wherein the one or more camera modules determine the rotation of the instrument relative to the body part of the patient based on an identifiable marker on the instrument, wherein the identifiable marker comprises an image and/or a serial number.
This invention relates to a medical imaging system that tracks the rotation of a surgical instrument relative to a patient's body part using one or more camera modules. The system addresses the challenge of accurately determining instrument orientation during procedures, which is critical for precision and safety. The camera modules capture visual data of the instrument, which includes an identifiable marker such as an image or serial number. By analyzing this marker, the system calculates the instrument's rotational position relative to the patient's anatomy. This allows for real-time tracking and adjustment, improving procedural accuracy. The system may also include additional features like depth sensors or calibration mechanisms to enhance tracking reliability. The marker-based approach ensures consistent identification of the instrument, even in dynamic surgical environments. This technology is particularly useful in minimally invasive surgeries where precise instrument positioning is essential. The system may integrate with existing imaging or navigation tools to provide comprehensive procedural guidance.
8. The system according to claim 7 , wherein other instructions may be communicated to the patient via haptic feedback sensors.
A system for patient monitoring and communication includes a wearable device equipped with sensors to detect physiological data such as heart rate, blood pressure, and movement. The device processes this data to assess the patient's condition and generate alerts for medical professionals if abnormalities are detected. The system also includes a communication module that transmits the collected data to a remote monitoring station for further analysis. Additionally, the system provides feedback to the patient through haptic feedback sensors, allowing it to deliver instructions or alerts in the form of vibrations or tactile signals. This feature ensures that the patient receives real-time guidance or warnings without relying solely on visual or auditory cues, which may be less effective in certain environments or for patients with sensory impairments. The haptic feedback can be used to remind the patient to take medication, adjust posture, or respond to emergency situations. The system integrates seamlessly with existing healthcare infrastructure, enhancing patient care by providing continuous monitoring and interactive feedback.
9. The system according to claim 1 , wherein the instrument is an opthalmoscope, intraoral camera, auriscope, or otoscope.
Unknown
March 9, 2021
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